RtoDPQ.d: Default procedure to fill slots d,p,q given r for discrete...

Description Usage Arguments Details Value Note Author(s) See Also Examples

View source: R/UtilitiesDistributions.R

Description

function to do get empirical density, cumulative distribution and quantile function from random numbers

Usage

1
RtoDPQ.d(r, e = getdistrOption("RtoDPQ.e"))

Arguments

r

the random number generator

e

10^e numbers are generated, a higher number leads to a better result.

Details

RtoDPQ.d generates 10^e random numbers, by default e = RtoDPQ.e which are used to produce a density, cdf and quantile function. Of course, the results are usually not exact as they rely on random numbers.

Value

RtoDPQ returns a list of functions.

dfun

density

pfun

cumulative distribution function

qfun

quantile function

Note

Use RtoDPQ for absolutely continuous and RtoDPQ.d for discrete distributions.

Author(s)

Thomas Stabla [email protected],
Florian Camphausen [email protected],
Peter Ruckdeschel [email protected],
Matthias Kohl [email protected]

See Also

UnivariateDistribution-class, density, approxfun, ecdf

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
rn2 <- function(n){rnorm(n)^2}
x <- RtoDPQ(r = rn2, e = 4, n = 512)
# returns density, cumulative distribution and quantile function of
# squared standard  normal distribution

x$dfun(4)
RtoDPQ(r = rn2, e = 5, n = 1024) # for a better result

rp2 <- function(n){rpois(n, lambda = 1)^2}
x <- RtoDPQ.d(r = rp2, e = 5)
# returns density, cumulative distribution and quantile function of
# squared Poisson distribution with parameter lambda=1

distr documentation built on July 9, 2018, 3 a.m.